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What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders., , , , , , , , and . KDD, page 1268-1279. ACM, (2023)GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software., , , , and . ICSE (Companion Volume), page 13-16. IEEE, (2021)Enhancing Graph Collaborative Filtering via Neighborhood Structure Embedding., , , , , , , , and . ICDM, page 190-199. IEEE, (2023)SAILOR: Structural Augmentation Based Tail Node Representation Learning., , , , , and . CIKM, page 1389-1399. ACM, (2023)SGHormer: An Energy-Saving Graph Transformer Driven by Spikes., , , and . CoRR, (2024)State Space Models on Temporal Graphs: A First-Principles Study., , , , , and . CoRR, (2024)Spiking Graph Convolutional Networks., , , , , and . IJCAI, page 2434-2440. ijcai.org, (2022)SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs., , , , , , , , , and . IJCAI, page 2306-2314. ijcai.org, (2023)L2CL: Embarrassingly Simple Layer-to-Layer Contrastive Learning for Graph Collaborative Filtering., , , , , , , , and . CoRR, (2024)Deep Insights into Graph Adversarial Learning: An Empirical Study Perspective., , , , , and . HBAI@IJCAI, volume 1369 of Communications in Computer and Information Science, page 87-101. Springer, (2020)